PERFORMANCE ESTIMATION OF WIRELESS SENSOR NETWORK USING ARCHIMEDES OPTIMIZATION ALGORITHM

Abstract

Energy efficiency is considered as the key issue in wireless sensor networks (WSNs) as sensors are embedded with limited battery that is non-chargeable. So the energy available with the sensor nodes within the network need to be used optimally for extending the network lifetime to maintain the quality of service. In this research article, cluster head (CH) selection under clustering process is done using Archimedes optimization algorithm (AOA) in order to conserve the energy and extend the network lifetime. CH is selected for hierarchal clustered network dynamically and optimized by utilizing AOA. The performance of the network is evaluated in terms of the computation time, energy consumption and packet loss. The research work contributes minimum execution time for head selection, less packet loss during transmission and low energy consumption. The simulated results are compared with the existing Antlion (ALO) and Moth flame optimization (MFO) algorithms. The results revealed that AOA outperforms in comparison to ALO and MFO. The research contributes longer network lifetime, lesser energy consumption, minimum packet loss, less execution time for CH election. The simulated results performs better than existing ALO & MFO as this takes only  1% computation time for CH selection,  packet loss is only 2% and  2% energy consumption as compared to ALO & MFO.